Study on Early warning model of Coal mining engineering with Fuzzy AHP

نویسندگان

  • Desheng Dash Wu
  • Zhigang Yan
  • Xueli Wang
  • Yingchun Fu
چکیده

The safety issue of coal mining engineering is very important to coal industry. According to our coal mine enterprises' safe characteristics, this paper analyzed the risk factors of coal mining engineering and studied the safety problem of “humanmachine-environment” system. The risk factors of coal mining engineering are divided to natural geological factors, personnel factors, equipment factors and management factors. Based on the fuzzy mathematics and these factors, the safety early warning model of coal mining engineering is constructed by using the fuzzy AHP method. Through the use of early warning model, we can find the risk sources and hidden danger of mining operations in time. Combined with a production mine, this early warning model is applied to the mining operations process. The results show that this early warning model is effective to prevent the accident. © 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of Desheng Dash Wu

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تاریخ انتشار 2015